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Eugen Geist
Software | Data Engineer (Python, SQL)
  • Suggested rate
    $852 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Eugen's quote.
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Location and workplace preferences
Location
Hamburg, Deutschland
Can work onsite in your office in
  • Hamburg and around (up to 50km)
  • Berlin and around (up to 50km)
Preferences

Project length

  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Would prefer to avoid:
  • ≤ 1 week
  • ≤ 1 month

Business sector

  • Banking & Insurance
  • Consulting & Audits
  • E-commerce
  • Energy & Utilities
  • Chemical
+32 other

Biotech, Research, Health & Wellness, Tech, Real Estate, Import & Export, Internet of Things (IoT), Culture, Agriculture, Logistics & Supply Chain, Luxury Goods, Mechanical Engineering, Medical , Fashion & Cosmetics, Nano-technology, Public sector, Human Resources, Pharmaceuticals industry, Press & Media, Travel & Tourism, Raw materials industry, Software Publishing, Social Networks, Sports, Telecommunications, Transportation, Environmental, Entertainment & Leisure, Civic & Social Organizations, Publishing, Video Games & Animation, Wine & Spirits

Would prefer to avoid:
Defense & Military

Company size

  • 250 - 999 people
  • 1000 - 4999 people
  • ≥ 5000 people
Would prefer to avoid:
  • 1 person
  • 2-10 people
Verifications

Freelancer code of conduct signed

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Verified company

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Company legal documents up-to-date

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Languages
Check out languages spoken by Eugen
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Expertise (25)
Eugen in a few words
Let's discuss your data problem and solve it through software.

I support you and your company through all phases of the software development lifecycle - from planning and requirements engineering through development and testing until go live and maintenance.

5+ years experience in different industries helping customers to solve their problems using a variety of technologies and methodologies ranging from development:
- Python
- SQL
- Bash

over different types of databases and supporting technologies:
- PostgreSQL
- Clickhouse
- Cassandra
- Apache Kafka
- Airflow
- Spark

in heterogeneous environments:
- AWS
- Cloud
- Kubernetes
- Containers

by applying best practices:
- ETL & ELT
- Data Warehouse
- Data Lake
- Requirements Engineering

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Experience
  • Google
    CEO
    SOFTWARE PUBLISHING

    Menlo Park, CA, USA

    September 1998 - Today   25 years
    If I had to sum up my life up to this point, I'd say it's been one heck of a ride...
    HTMLCSSJSPhotoshop

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